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Ergebnis der Suche nach: "Machine Learning"
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36591 - 36600 von 38331
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Artikel 36591 Semantic Segmentation Uncertainty Assessment of Different U-net Architectures for Extracting Building Footprints
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4-2024, 2024: 141-148. 8 S.
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Artikel 36592 SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2022, 2022: 485-491. 7 S.
Online Ressource
Artikel 36593 Semi-automated title-abstract screening using natural language processing and machine learning
Enthalten in Systematic Reviews Bd. 13, 1.11.2024, Nr. 1, date:12.2024: 1-14
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Artikel 36594 Semi-Lipschitz functions and machine learning for discrete dynamical systems on graphs
Enthalten in Machine learning Bd. 111, 23.3.2022, Nr. 5, date:5.2022: 1765-1797
Online Ressource
Artikel 36595 Semi-supervised machine-learning classification of materials synthesis procedures
Enthalten in npj computational materials Bd. 5, 8.7.2019, Nr. 1, date:12.2019: 1-7
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Artikel 36596 Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting
Enthalten in BMC bioinformatics Bd. 19, 26.6.2018, Nr. 1, date:12.2018: 1-9
Online Ressource
Artikel 36597 Semiconductor Multilayer Nanometrology with Machine Learning
Enthalten in Nanomanufacturing and metrology Bd. 6, 4.5.2023, Nr. 1, date:12.2023: 1-18
Online Ressource
Artikel 36598 Semiparametric efficient estimation of genetic relatedness with machine learning methods
Enthalten in Statistics and computing Bd. 35, 9.4.2025, Nr. 3, date:6.2025: 1-15
Online Ressource
Artikel 36599 SEMORE: SEgmentation and MORphological fingErprinting by machine learning automates super-resolution data analysis
Enthalten in Nature Communications Bd. 15, 26.2.2024, Nr. 1, date:12.2024: 1-13
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Artikel 36600 SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden
Enthalten in Genome medicine Bd. 17, 14.1.2025, Nr. 1, date:12.2025: 1-16
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